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arXiv · 1612.04030

Optimization and Analysis of Probabilistic Caching in $N$-tier Heterogeneous Networks

Kuikui Li·Chenchen Yang·Zhiyong Chen·Meixia Tao
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Abstract

In this paper, we study the probabilistic caching for an $N$-tier wireless heterogeneous network (HetNet) using stochastic geometry. A general and tractable expression of the successful delivery probability (SDP) is first derived. We then optimize the caching probabilities for maximizing the SDP in the high signal-to-noise ratio (SNR) regime. The problem is proved to be convex and solved efficiently. We next establish an interesting connection between $N$-tier HetNets and single-tier networks. Unlike the single-tier network where the optimal performance only depends on the cache size, the optimal performance of $N$-tier HetNets depends also on the BS densities. The performance upper bound is, however, determined by an equivalent single-tier network. We further show that with uniform caching probabilities regardless of content popularities, to achieve a target SDP, the BS density of a tier can be reduced by increasing the cache size of the tier when the cache size is larger than a threshold; otherwise the BS density and BS cache size can be increased simultaneously. It is also found analytically that the BS density of a tier is inverse to the BS cache size of the same tier and is linear to BS cache sizes of other tiers.

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Kuikui Li, Chenchen Yang, Zhiyong Chen, Meixia Tao. 2016-12-13. Optimization and Analysis of Probabilistic Caching in $N$-tier Heterogeneous Networks. https://arxiv.org/abs/1612.04030

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